Cydonia-v4-MS3.2-Magnum-Diamond-24B

18
10
24.0B
license:apache-2.0
by
knifeayumu
Language Model
OTHER
24B params
New
18 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
54GB+ RAM
Mobile
Laptop
Server
Quick Summary

Recipe based on knifeayumu/Cydonia-v1.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
23GB+ RAM

Code Examples

Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
Configurationyaml
models:
  - model: TheDrummer/Cydonia-24B-v4
  - model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: slerp
base_model: TheDrummer/Cydonia-24B-v4
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16

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